Speaker "Rohan Singh Rajput" Details Back



Lessons Learned from Building a Large-Scale Recommendation System for Headspace

Keynote Panel : Advancement in Recommendation Systems


Headspace is a leading mindful and meditation app with over 60 million users worldwide. In order to provide the best possible experience for our users, we built a large-scale recommendation system that helps them discover new content that is relevant to their interests. In this talk, we will share the lessons we have learned from building and operating this recommendation system. We will discuss the challenges we faced, the solutions we implemented, and the results we achieved. We will also discuss the future of recommendation systems and how they can be used to improve the user experience of other applications. This talk is relevant to researchers, data scientists, and business professionals who are interested in the latest advances in recommender systems. Here are some specific lessons that we have learned from building this recommendation system: Data is king: The quality and quantity of data is essential for building a successful recommendation system. Algorithms matter: The right algorithms can make a big difference in the accuracy and effectiveness of a recommendation system. Personalization is key: Users are more likely to engage with content that is relevant to their interests. Continuous learning is essential: Recommendation systems need to be constantly updated with new data and feedback in order to stay accurate and effective. We hope that this talk will provide you with valuable insights into the challenges and opportunities of building large-scale recommendation systems.
Who is this presentation for?
Data Scientist, Machine Learning Engineer
Prerequisite knowledge:
Intermediate Knowledge of Machine Learning and Cloud Engineering
What you'll learn?
System Design for Recommender System


Rohan Singh Rajput is a distinguished leader in the field of personalization, currently serving as the Personalization Domain Lead at Headspace. With over eight years of experience in analytics, data science, machine learning, and AI, Rohan has developed and deployed several successful machine learning models in production. His expertise in the field has garnered him a massive following on LinkedIn, with over 10,000 followers. Rohan has also been invited to speak at numerous data science conferences and has published several articles in newsletters. Additionally, his contributions to the field have earned him a patent, and he has been featured in company blog posts and data science podcasts. Rohan's dedication and passion for his work are reflected in his work history, which includes working in prominent Fortune 500 companies such as Disney and Ticketmaster.